JSON twin: https://www.healthaidb.com/software/sas-viya.json
SAS
https://www.sas.com/en_us/software/viya.html
SAS Viya is a cloud-native, enterprise data and AI platform that enables health care organizations to manage data, build and deploy analytics and AI models, and operationalize insights for providers, payers and public health agencies.
SAS Viya is a scalable, cloud‑enabled analytics and AI platform with capabilities for data management, automated model development (AutoML), model interpretability and governance, real‑time scoring, GenAI orchestration, synthetic data generation and embedded fairness/bias monitoring. In health care it is used for population health, clinical and operational analytics, cost-of-care analysis, fraud/waste/abuse detection, capacity planning and research applications.
yes
1976
Customer-selected hosting regions (AWS/Azure/GCP) or on-premises; multi-region options including US and EU via cloud choice
P1465
2025-09-07
commercial (proprietary)
Pricing varies by deployment, modules and scale; contact vendor for quote. Trial/demo options available via SAS website.
enterprise_quote
2016
Kubernetes/OpenShift cluster; Linux nodes for server containers; cloud VM resources (AWS/Azure/GCP) or on-prem virtual/physical servers; supported databases (Oracle, SQL Server, Teradata, HDFS, Snowflake)
product
1.0
{
"company_name": "SAS",
"company_url": "https://www.sas.com",
"company_offices": [
"United States",
"United Kingdom",
"Canada",
"Australia",
"Germany",
"France",
"Japan",
"India",
"Brazil",
"China"
],
"company_founding": "1976",
"product_url": "https://www.sas.com/en_us/software/viya.html",
"categories": [
"analytics",
"artificial intelligence / machine learning",
"data platform",
"cloud-native platform",
"developer tools"
],
"market_segment": [
"enterprise"
],
"links": [
"https://www.sas.com/en_us/software/viya.html",
"https://support.sas.com/en/software/sas-viya.html",
"https://documentation.sas.com",
"https://documentation.sas.com/doc/en/sasadmincdc/v_054/viyaov/p0i3vcgjpciz45n1of1v4vkffwbn.htm",
"https://github.com/sassoftware/viya4-resource-guide",
"https://support.sas.com/en/software/health-support.html",
"https://www.redhat.com/en/blog/sas-viya-on-red-hat-openshift-part-1-reference-architecture-and-deployment-considerations",
"https://learn.microsoft.com/en-us/azure/architecture/guide/sas/sas-overview",
"https://assets.applytosupply.digitalmarketplace.service.gov.uk/g-cloud-14/documents/93019/722471250970466-service-definition-document-2024-05-01-1647.pdf"
],
"summary": "SAS Viya is a cloud-native, enterprise data and AI platform that enables health care organizations to manage data, build and deploy analytics and AI models, and operationalize insights for providers, payers and public health agencies.",
"description": "SAS Viya is a scalable, cloud‑enabled analytics and AI platform with capabilities for data management, automated model development (AutoML), model interpretability and governance, real‑time scoring, GenAI orchestration, synthetic data generation and embedded fairness/bias monitoring. In health care it is used for population health, clinical and operational analytics, cost-of-care analysis, fraud/waste/abuse detection, capacity planning and research applications.",
"target_users": [
"data scientists",
"clinical analysts",
"healthcare executives",
"IT/engineers",
"population health managers",
"payers/claims analysts",
"researchers"
],
"specialties": [
"population health",
"health outcomes research",
"health care finance/revenue management",
"clinical operations",
"claims analytics and fraud detection",
"predictive risk modeling",
"public health",
"life sciences research"
],
"regions_available": [
"United States",
"Canada",
"United Kingdom",
"Europe (general)",
"Australia",
"New Zealand",
"India",
"China",
"Japan",
"South Korea",
"Brazil",
"Mexico",
"South Africa",
"Middle East (general)"
],
"languages_supported": [
"English",
"Spanish",
"Portuguese",
"French",
"German",
"Italian",
"Dutch",
"Simplified Chinese",
"Traditional Chinese",
"Japanese",
"Korean"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Pricing varies by deployment, modules and scale; contact vendor for quote. Trial/demo options available via SAS website.",
"license": "commercial (proprietary)",
"deployment_model": [
"cloud-native SaaS",
"on_prem (container/Kubernetes)",
"hybrid",
"managed cloud / SAS-managed cloud"
],
"os_platforms": [
"Web",
"Linux (server)",
"Windows (client via browser)",
"macOS (client via browser)",
"Kubernetes/OpenShift"
],
"features": [
"Cloud-native analytics and in-memory CAS engine",
"Data access, ingestion and connectors",
"Data preparation and data quality",
"Exploratory analytics and visualization",
"Automated and custom machine learning",
"Model explainability and fairness tools",
"Model training at scale (distributed GPU/CPU)",
"Model management / model ops (versioning, testing)",
"Model deployment & scoring (real-time and batch)",
"Operational decisioning / rules engine",
"Scheduling, orchestration and pipeline automation",
"Governance, lineage and metadata management",
"Streaming analytics / event processing",
"APIs and SDKs for programmatic access (REST, Python, R)",
"Security, auditing and tenant isolation",
"Integration with DevOps / CI-CD workflows"
],
"optional_modules": [
"SAS Data Management / Data Connector modules",
"SAS Model Studio",
"SAS Model Manager",
"SAS Visual Analytics",
"SAS Visual Statistics",
"SAS Decision Manager",
"SAS Event Stream Processing",
"SAS Data Quality"
],
"integrations": [
"AWS (S3, EC2)",
"Microsoft Azure",
"Google Cloud Platform",
"Red Hat OpenShift / Kubernetes",
"Snowflake",
"Teradata",
"Oracle Database",
"Microsoft SQL Server",
"Hadoop distributions (HDFS)",
"SAP",
"Common EHRs via connectors/partners (Epic, Cerner) (via FHIR/HL7 integrations)",
"PACS / imaging systems (via DICOM connectors or partner solutions)",
"Kafka / streaming platforms",
"REST API / custom systems"
],
"data_standards": [
"FHIR",
"HL7 v2",
"DICOM",
"SNOMED CT",
"ICD-10",
"LOINC"
],
"api_available": "yes",
"system_requirements": "Kubernetes/OpenShift cluster; Linux nodes for server containers; cloud VM resources (AWS/Azure/GCP) or on-prem virtual/physical servers; supported databases (Oracle, SQL Server, Teradata, HDFS, Snowflake)",
"compliance": [
"HIPAA (supported controls)",
"GDPR (data processing controls)",
"SOC 2",
"ISO 27001"
],
"certifications": [
"ISO 27001",
"SOC 2"
],
"security_features": [
"encryption at rest",
"encryption in transit (TLS)",
"role-based access control (RBAC)",
"SSO/SAML/OIDC",
"audit logging",
"multi-factor authentication (2FA)"
],
"privacy_features": [
"Business Associate Agreement (BAA) available",
"data anonymization/pseudonymization capabilities",
"access controls and consent enforcement (via integrations)"
],
"data_residency": "Customer-selected hosting regions (AWS/Azure/GCP) or on-premises; multi-region options including US and EU via cloud choice",
"customers": [
"Levi Strauss & Co.",
"Georgia-Pacific",
"Chiesi Farmaceutici",
"American Honda",
"1-800-FLOWERS.com",
"Boddie-Noell Enterprises",
"SBI General Insurance",
"CIMB",
"Carahsoft (public sector partner)"
],
"user_reviews": [
"Powerful for large-scale analytics but expensive and can be complex to set up",
"Excellent vendor support — SAS support team is very responsive",
"Great performance and scalability; handles big data and heavy models well",
"Steep learning curve for teams used to open-source tools",
"Strong for regulated industries where reproducibility and auditability matter"
],
"ratings": [
"G2: 4.3/5 (SAS Viya)"
],
"support_channels": [
"email",
"phone",
"chat",
"ticketing",
"community",
"24x7"
],
"training_options": [
"documentation",
"webinars",
"live_online",
"onsite",
"certification"
],
"release_year": "2016",
"integration_partners": [
"Amazon Web Services (AWS)",
"Microsoft Azure",
"Google Cloud Platform",
"Carahsoft",
"Starburst",
"CData",
"Epic Systems"
],
"id": "P1465",
"slug": "sas-viya",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/sas-viya.json"
}
}